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Peng Chen

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Senior Scientist

RIKEN Center for Computational Science

Japan

Research Interests

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Professors in Japan Professors in High Performance Computing High Performance Computing professors in Japan

Recent Grants

Grant: Close

Large-scale Tomography Computation

Open Date: 2021-04-01

Close Date: 2025-03-01

Articles (17)

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Collaborators (7)

Miquel Pericàs

Professor at Chalmers University of Technology

Chalmers University of Technology

SWEDEN

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XIN LIU

Chief Senior Researcher

National Institute of Advanced Industrial Science and Technology (AIST)

JAPAN

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Toshio Endo

Professor

Institute of Science Tokyo

JAPAN

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Cong Guo

Duke University

UNITED STATES

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Truong Thao Nguyen

National Institute of Advanced Industrial Science and Technology (AIST)

JAPAN

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Zheng Chen

Research Assistant Professor

Osaka University

JAPAN

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Tao Luo

Institute of High Performance Computing

SINGAPORE

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Peng Chen

Research Interests

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Recent Grants

Articles (17)

SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication

Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers

POSTER: A General and Scalable GCN Training Framework on CPU Supercomputers

A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation

Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures

Predictor-assisted evolutionary neural architecture search for spiking neural networks

Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing

Neural Architecture Search With Progressive Evaluation and Sub-Population Preservation

Real-time High-resolution X-Ray Computed Tomography

Efficient Distributed Sequence Parallelism for Transformer-Based Image Segmentation

High-Performance Data Loader for Large-Scale Data Processing

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips

At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications

Revisiting Temporal Blocking Stencil Optimizations

Exploiting Scratchpad Memory for Deep Temporal Blocking

Collaborators (7)

Miquel Pericàs

XIN LIU

Toshio Endo

Cong Guo

Truong Thao Nguyen

Zheng Chen

Tao Luo

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